logo-prompting

logo-prompting is a skill for Claude Code, Codex from devkindhq/ideogram-ai-toolkit. It costs 169 tokens per session (1,792 once invoked), scanned A, original, Apache-2.0.

A reference for writing prompts that guide an image model to create logos, wordmarks, and brand symbols. It focuses on expressing a brand's character and visual constraints clearly while avoiding generic design clichés.

In plain words
What is it for?
Use it when preparing a logo prompt, defining an icon or wordmark direction, or reviewing an existing logo-generation prompt.
Why use it?
It helps turn a brand strategy into a focused image-generation brief instead of relying on vague prompts or overused startup imagery.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/devkindhq/ideogram-ai-toolkit/logo-prompting
Any agent
npx skills add devkindhq/ideogram-ai-toolkit --skill logo-prompting
Clone the repo
git clone --depth 1 https://github.com/devkindhq/ideogram-ai-toolkit

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for logo-prompting

README.md
[![agentmods](https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/logo-prompting.svg)](https://agentmods.dev/skills/devkindhq/ideogram-ai-toolkit/logo-prompting)
Your own site
<a href="https://agentmods.dev/skills/devkindhq/ideogram-ai-toolkit/logo-prompting"><img src="https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/logo-prompting.svg" alt="Measured on agentmods" height="20"></a>
Per session 169 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,792 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00169 $0.01792
Opus 5 $0.00084 $0.00896
Sonnet 5 $0.00034 $0.00358
Haiku 4.5 $0.00017 $0.00179

Measured 6d ago against content hash e05d04085d5f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

logo-prompting scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/logo-prompting/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Logo Prompting

Writing a good logo prompt is a compression problem: you're translating a brand's strategy and voice into a short, literal, image-model-legible spec — while actively fighting the model's own priors, which default to AI-startup visual clichés (gradients, neural nodes, glowing orbs, soundwave bars) unless explicitly told not to.

This skill exists because a logo prompt has two failure modes, and they pull in opposite directions:

  1. Too vague → the model falls back to generic SaaS-logo training-data averages.
  2. Too literal / over-specified → the model draws exactly the clichéd icon you named (a phone for a calling app, a shield for security, a lightbulb for ideas) instead of an abstract mark that earns its meaning.

Good logo prompting threads between these: specific about constraints (palette, type, mood, what to avoid), abstract about the mark itself (suggest, don't depict).

Before writing a prompt: gather the four inputs

Don't start typing a prompt cold. Pull these four things first — they're the actual inputs, the prompt is just their compressed form:

  1. Brand truth — read the project's brand.md if one exists (Strategy + Voice + Visual layers). If there's no brand.md, ask for the equivalent: what the brand is, what it's not, the archetype, the core promise. A logo prompt with no brand truth behind it is decoration, not identity.
  2. The Visual layer specifically — Colors (exact hex, named tokens, and their usage rule — which color is primary vs. reserved-for-one-state), Typography (display face + weight + roman-only), Style keywords + reference brands. See references/brand-visual-layer.md.
  3. Intake context — what is this mark actually for (wordmark, icon-only, favicon, both), what does it need to survive (16px favicon, dark mode, embroidery, print), who reads it (a shift worker at 2am glancing at a phone screen reads differently than a landing-page visitor). See references/logo-offer-questions.md for the fuller intake list — use it as an interview checklist when the user hasn't already supplied this.
  4. The anti-slop guardrails — the specific clichés this brand must never look like (see references/anti-slop-discipline.md). Every brand has its own version of "don't look like a generic AI startup" — for a fintech it might be "no padlock icon," for a care-work app it's "no clinical cross," etc. Name the negatives explicitly; a model that isn't told what to avoid will reach for it.

Read the full file on GitHub · 66 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 66 lines · 169 tokens per session scan A e05d04085d5f

Subscribe to this mod's changes

logo-prompting is a skill published in the GitHub repository devkindhq/ideogram-ai-toolkit (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 169 tokens to every session and 1,792 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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